Activity and Emotion Recognition for Elderly Health Monitoring
Author:
Affiliation:
1. Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology
2. Graduate School of Computer Science and Systems Engineering, Kyushu Institute of Technology
Publisher
Japan Society of Kansei Engineering
Link
https://www.jstage.jst.go.jp/article/ijae/17/2/17_IJAE-D-17-00020/_pdf
Reference39 articles.
1. 1. Kulik, C. T., et al.; Aging populations and management, Academy of Management Journal, 57(4), pp.929-935, 2014.
2. 2. Davis, K., et al.; Social hue: A subtle awareness system for connecting the elderly and their caregivers, in Pervasive Computing and Communication Workshops (PerCom Workshops), pp.178-183, 2015.
3. 3. Mubashir, M., Shao, L., and Seed, L.; A survey on fall detection: Principles and approaches, Neurocomputing, 100, pp.144-152, 2013.
4. 4. Ahlrichs, C., et al.; Detecting freezing of gait with a tri-axial accelerometer in Parkinson's disease patients, Medical & Biological Engineering & Computing, 54(1), pp.223-233, 2016.
5. 5. Aggarwal, J. K., and Xia, L.; Human activity recognition from 3D data: A review, Pattern Recognition Letters, 48, pp.70-80, 2014.
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